scholarly journals A Novel Hybrid Particle Swarm- Multiverse Optimization based Voltage Stability Improvement in IEEE 57 Bus System

2018 ◽  
Vol 7 (2.24) ◽  
pp. 381
Author(s):  
P K.Dhal ◽  
K Ramash Kumar
Keyword(s):  
Power System ◽  
Hybrid Algorithm ◽  
Voltage Stability ◽  
System Analysis ◽  
Test System ◽  
Analysis Tool ◽  
Power System Analysis ◽  
Sudden Loading ◽  
And Control ◽  
Bus System

The major role of power system is voltage stability. It is required to plan properly and smooth operation and control. It presents a new approach of voltage stability improvement in IEEE 57 bus system using hybrid algorithm. The hybrid algorithm (PSO-MVO) is combination of PSO which is used for exploitation and MVO used for exploration. It is used in an uncertain environment. The FACTS device as STATCOM is connected in IEEE 57 test system to check for event of voltage stability improvement through power system analysis tool (PSAT) software. Once the ability of system goes through sudden loading, its stability gets affected. It desires compensation to boost voltage from disturbances. The varied operative condition while not used STATCOM in the system, used with STATCOM tuned by PSO-MVO algorithm are measured judge the performance of the projected system. The hybrid PSO-MVO technique is implemented in this paper to solve the proposed problem. The simulation results are obtained by PSAT software for 57 IEEE bus systems. The hybrid algorithm validates its effectiveness compare to individual PSO and MVO algorithm.     

A Practical, Hybrid Approach to Faster-Than Real-Time Power System Analysis and Control

2014 ◽  
Vol 47 (3) ◽  
pp. 10790-10795
Author(s):  
Anthony S. Deese ◽  
C.O. Nwankpa ◽  
Stephen Coppi ◽  
Tim Nugent
Keyword(s):  
Power System ◽  
Real Time ◽  
System Analysis ◽  
Hybrid Approach ◽  
Power System Analysis ◽  
And Control

scholarly journals Real Time Security Assessment of the Power System Using a Hybrid Support Vector Machine and Multilayer Perceptron Neural Network Algorithms

2019 ◽  
Vol 11 (13) ◽  
pp. 3586 ◽  
Author(s):  
Oyeniyi Akeem Alimi ◽  
Khmaies Ouahada ◽  
Adnan M. Abu-Mahfouz
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Power System ◽  
Real Time ◽  
Multilayer Perceptron ◽  
Hybrid Algorithm ◽  
Test System ◽  
Support Vector ◽  
Detection Accuracy ◽  
Bus System

In today’s grid, the technological based cyber-physical systems have continued to be plagued with cyberattacks and intrusions. Any intrusive action on the power system’s Optimal Power Flow (OPF) modules can cause a series of operational instabilities, failures, and financial losses. Real time intrusion detection has become a major challenge for the power community and energy stakeholders. Current conventional methods have continued to exhibit shortfalls in tackling these security issues. In order to address this security issue, this paper proposes a hybrid Support Vector Machine and Multilayer Perceptron Neural Network (SVMNN) algorithm that involves the combination of Support Vector Machine (SVM) and multilayer perceptron neural network (MPLNN) algorithms for predicting and detecting cyber intrusion attacks into power system networks. In this paper, a modified version of the IEEE Garver 6-bus test system and a 24-bus system were used as case studies. The IEEE Garver 6-bus test system was used to describe the attack scenarios, whereas load flow analysis was conducted on real time data of a modified Nigerian 24-bus system to generate the bus voltage dataset that considered several cyberattack events for the hybrid algorithm. Sising various performance metricion and load/generator injections, en included in the manuscriptmulation results showed the relevant influences of cyberattacks on power systems in terms of voltage, power, and current flows. To demonstrate the performance of the proposed hybrid SVMNN algorithm, the results are compared with other models in related studies. The results demonstrated that the hybrid algorithm achieved a detection accuracy of 99.6%, which is better than recently proposed schemes.

The Reviews of Power System Voltage Stability

2013 ◽  
Vol 339 ◽  
pp. 545-549
Author(s):  
Xue Song Zhou ◽  
Huan Liang ◽  
You Jie Ma
Keyword(s):  
Stability Analysis ◽  
Power System ◽  
Electric Power ◽  
Analytical Methods ◽  
Bifurcation Theory ◽  
Voltage Stability ◽  
System Analysis ◽  
Power System Analysis ◽  
Electric Power Engineering ◽  
Dynamic Voltage

Power system voltage stability is one of research hotpots in the field of electric power engineering. Firstly, the application of bifurcation theory in power system analysis is introduced. Secondly, static index which is used frequently in power system analysis is given and the characteristics of every index are clarified in detail. Last, it introduces the analytical methods of dynamic voltage and makes prospect about the voltage stability analysis.

Sign in / Sign up

Export Citation Format

Share Document